Shu Yang

Attribute Driven Zero-Shot Classification and Segmentation

2018

Zero-shot classification and segmentation aims to recognize and segment objects of unseen classes. The attribute information, such as color, shape, part and material, is usually used for zero-shot classification. Moreover, we observe that this kind …

Accessing the topological properties of human brain functional sub-circuits in Echo State Networks

2024 · arXiv (Cornell University)

Recent years have witnessed an emerging trend in neuromorphic computing that centers around the use of brain connectomics as a blueprint for artificial neural networks. Connectomics-based neuromorphic computing has primarily focused on embedding human brain …

Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons

2025 · arXiv (Cornell University)

Large Language Models (LLMs) trained on massive data capture rich information embedded in the training data. However, this also introduces the risk of privacy leakage, particularly involving personally identifiable information (PII). Although previous studies have …